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abstract

POGIL in Computer Science for Beginners and Experts

Published:22 February 2019Publication History

ABSTRACT

Process-Oriented Guided Inquiry Learning (POGIL) is a form of student-centered, engaged learning. It is a research-based instructional strategy with a proven history across STEM disciplines. In a POGIL classroom, teams of students work on activities that are specifically designed to guide them to construct their own understanding of key concepts. At the same time, students develop process skills such as communication, teamwork, problem solving, and critical thinking. POGIL incorporates practices shown to be particularly helpful for students from underrepresented populations. In a POGIL classroom, teachers are facilitators, not lecturers. Multiple studies have shown that students in POGIL classes do better on common exams and in subsequent courses. For more information, see http://cspogil.org and http://pogil.org. This BOF will (1) enable people unfamiliar with POGIL to experience it first-hand, and (2) bring together experienced POGIL practitioners to share experiences, insights, ideas, and concerns. As in a POGIL classroom, we will discuss topics in small teams and report out to the larger group.

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  1. POGIL in Computer Science for Beginners and Experts

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    • Published in

      cover image ACM Conferences
      SIGCSE '19: Proceedings of the 50th ACM Technical Symposium on Computer Science Education
      February 2019
      1364 pages
      ISBN:9781450358903
      DOI:10.1145/3287324

      Copyright © 2019 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 22 February 2019

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      Acceptance Rates

      SIGCSE '19 Paper Acceptance Rate169of526submissions,32%Overall Acceptance Rate1,595of4,542submissions,35%

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